INTELLIGENT AND SUSTAINABLE PROCESS SYSTEMS LAB (ISPSL)
Home to Pourkargar Research Group @ Kansas State University
October 2024
We have given six oral presentations and a poster at the 2024 AIChE Annual Meeting in San Diego:
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Keynote 1 - Resilient Multi-Agent Estimation and Control of Complex Process Networks (702a @ Cybersecurity and High-Performance Computing in Next-Gen Manufacturing Session) Link
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Predictive Modeling and Optimal Regulation of Modular Hydrogen-Ammonia Systems with Renewable Energy Integration for Resilient Chemical-Energy Conversion (564d @ Next-Gen Manufacturing in Chemical and Energy Systems Session) Link
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A Physics-Informed Deep Learning Approach to Predict Soil Water Content for Agricultural Decision-Making (579a @ Data-Driven and Hybrid Modeling for Decision-Making Session) Link
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Predictive Modeling and Optimal Control of a Particulate Polysilicon Reactor System for Enhanced Solar Cell Manufacturing (617c @ Modeling, Optimization, and Control in Next-Gen Manufacturing Session) Link
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Dynamic Graph-Based Distributed Estimation and Control of Fast-Evolving Complex Process Networks (664f @ Applied Artificial Intelligence, Big Data, and Data Analytics Methods for Next-Gen Manufacturing Efficiency Session) Link
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Time-Series Integrated Surrogate Modeling for Control of Ammonia Synthesis and Adsorption Processes (711a @ AI/ML Modeling, Optimization, and Control Applications II Session) Link
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A Distributed Data-Driven Predictive Modeling Approach for Cyber-Process Incident Identification Using Spectral Community Detection (375d @ Interactive Session: Data and Information Systems) Link
AmirMohammad Ebrahimi has successfully defended his master's thesis on Distributed Model Predictive Control of Integrated Process Systems Using an Adaptive Community Detection Approach. Congratulations, AmirMohammad!
Our paper on Multi-Agent Distributed Control of Integrated Process Networks Using an Adaptive Community Detection Approach has been published in Digital Chemical Engineering. Link
September 2024
Our paper on An Adaptive Distributed Architecture for Multi-Agent State Estimation and Control of Complex Process Systems has been published in Chemical Engineering Research and Design. Link
Our paper on Predictive Modeling and Robust Nonlinear Control of a Polysilicon Reactor System for Enhanced Solar Cell Production has been published in Control Engineering Practice. Link
Dr. Pourkargar received the Carl R. Ice College of Engineering Outstanding Assistant Professor Award. Link
July 2024
Our three papers have been published in the Proceedings of the American Control Conference (ACC), Toronto, Canada, 2024:
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Learning-Based Model Predictive Control of an Ammonia Synthesis Reactor Link
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Distributed Model Predictive Control of Integrated Process Networks Based on an Adaptive Community Detection Approach Link
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A Physics-Informed Machine Learning Approach to Predict Soil Water Content for Agricultural Decision-Making Link
Our two papers have been published in the Proceedings of the 12th IFAC Symposium n Advanced Contro of Chemical Processes (ADCHE), Toronto, Canada, 2024:
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Nonlinear Model Predictive Control of a Particulate Polysilicon Reactor System for Enhanced Solar Cell Production Link
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Distributed Estimation and Control of Process Networks Using Adaptive Community Detection Link
June 2024
Our paper on Learning-Based Model Reduction and Predictive Control of an Ammonia Synthesis Process has been published in Industrial and Engineering Chemistry Research. Link
May 2024
Dr. Pourkargar joined the Terasaki Institute for Biomedical Innovation as a visiting assistant professor.
April 2024
Carlos Veloz Marmolejo has successfully defended his master's thesis on Predictive Modeling and Optimization-Based Control of Particulate Polysilicon Reactor Systems for Enhanced Solar Cell Production. Congratulations, Carlos!
Oladotun Osisami has successfully defended his master's thesis on Machine Learning-Based Cancer Prediction Using Large Scale Clinical Data. Congratulations, Ola!
Amirsalar Bagheri has successfully defended his master's thesis on Applications of Deep Learning and Time-Series Analysis in Dynamic Process Optimization and Decision Making. Congratulations, Amirsalar!
March 2024
Amirsalar Bagheri presented a poster on Renewable Energy-Based Ammonia Production at the Kansas Capitol.
Carlos Veloz Marmolejo has been selected as the Tim Taylor Department of Chemical Engineering Graduate Student of the Month by the Carl R. Ice College of Engineering at K-State. Congratulations, Carlos!
January 2024
AmirMohammad Ebrahimi has been selected as the Tim Taylor Department of Chemical Engineering Graduate Student of the Month by the Carl R. Ice College of Engineering at K-State. Congratulations, AmirMohammad!
November 2023
Dr. Pourkargar received a grant from the National Science Foundation on Physics-Informed Machine Learning with Organ-on-a-Chip Data for an In-Depth Understanding of Disease Progression and Drug Delivery Dynamics. Link
We have given two oral presentations at the 2023 AIChE Annual Meeting in Orlando:
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Learning-Based Data Reconstruction and Predictive Modeling of an Ammonia Synthesis Process for State Estimation and Control Applications (207d @ Advances in Process Control I Session) Link
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Distributed Estimation and Model Predictive Control of Integrated Nonlinear Process Systems Using an Adaptive Community Detection Approach (295d @ Advances in Process Control II Session) Link
Amirsalar Bagheri has been selected as the Tim Taylor Department of Chemical Engineering Graduate Student of the Month by the Carl R. Ice College of Engineering at K-State. Congratulations, Amirsalar!
October 2023
Amirsalar Bagheri was recognized at K-State's Research and the State Forum for his poster on Application of Artificial Intelligence in Optimizing Green Ammonia Production. Congratulations, Amirsalar!
Thiago Cabral has been selected as the Tim Taylor Department of Chemical Engineering Graduate Student of the Month by the Carl R. Ice College of Engineering at K-State. Congratulations, Thiago!
August 2023
Dr. Pourkargar joined the Food Science Institute at K-State as a Graduate Faculty.
June 2023
Dr. Pourkargar received the Big XII Faculty Fellowship from K-State.
June 2023
Our paper on Cyberattack Awareness and Resiliency of Integrated Moving Horizon Estimation and Model Predictive Control of Complex Process Networks has been published in the Proceedings of the American Control Conference (ACC), San Diego, CA, 2023. Link
Oladotun Osisami has joined our group as a graduate student. Welcome, Ola!
May 2022
Amirsalar Bagheri and AmirMohammad Ebrahimi have successfully passed their PhD qualifying exams. Congratulations, Amirsalar and AmirMohammad!
April 2023
Gregory Gause has successfully defended his master's thesis on Computational Modeling of Food Extrusion Systems for Optimal Plant-Based Meat Production. Congratulations, Greg!
March 2023
Dr. Pourkargar received the AFOSR Summer Faculty Fellowship.
Dr. Pourkargar received the Kansas EPSCoR First Award for a project on Distributed Green Ammonia Generation for Resilient Energy Storage and Fertilizer Production in Rural Communities. Link
November 2022
We have given three oral presentations at the 2022 AIChE Annual Meeting in Phoenix:
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A Deep Learning-Based Model Reduction and Control of an Ammonia Synthesis Process (12f @ Data-Driven Dynamic Modeling, Estimation, and Control I Session) Link
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Optimization-Based Estimation and Control of Renewable Energy-Powered Greenhouse Systems (484d @ Modeling, Estimation, and Control Applications Session) Link
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Model Predictive Control of Green-Powered Zero Waste Urban Plant Factories for Sustainable Food Production (587f @ Modeling, Control, and Optimization of Energy Systems I Session) Link
Blake Karawan has successfully defended his master's thesis on Developing a CFD-Based Axial Compartment Model for a Lab-Scale Bioreactor. Congratulations, Blake!
Thiago Cabral has been selected as the Tim Taylor Department of Chemical Engineering Graduate Student of the Month by the Carl R. Ice College of Engineering at K-State. Congratulations, Thiago!
August 2022
Our paper on An Integrated Moving Horizon Estimation and Model Predictive Control Framework for Semi-Closed Greenhouse Systems has been published in the Proceedings of the IEEE Conference on Control Technology and Applications (CCTA), Trieste, Italy, 2022. Link
Connor Smith has successfully defended his master's thesis on Data Assisted Modeling of the Liver Organ on a Chip Dynamics. Congratulations, Connor!
AmirMohammad Ebrahimi and Carlos Veloz Marmolejo have joined our group as graduate students. Welcome, AmirMohammad and Carlos!
Dr. Pourkargar joined the Johnson Cancer Research Center at K-State as a Faculty Researcher.
May 2022
Gregory Gause has joined our group as a graduate student. Welcome, Greg!
Thiago Cabral has successfully passed his PhD qualifying exam. Congratulations, Thiago!
January 2022
Amirsalar Bagheri, Connor Smith, Jonathon Kohl, and Blake Karawan have joined our group as graduate students. Welcome, Amir, Connor, Jonathon, and Blake!
November 2021
We have given two oral presentations at the 2021 AIChE Annual Meeting in Boston:
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Output Feedback Control of Nonlinear Distributed Parameter Systems with Unknown Parameters Using a Two-Tier Adaptive Identification Method (105d @ Advances in Process Control I Session) Link
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Model Predictive Control of Integrated Energy and Chemical Manufacturing Systems (537h @ Modeling, Control, and Optimization of Energy Systems II Session) Link
October 2021
Brayden Sundberg has joined our group as an undergraduate researcher. Welcome, Brayden!
August 2021
Our paper on Lyapunov-Based Online Model Reduction and Control of Semilinear Dissipative Distributed Parameter Systems with Minimum Feedback Information has been published in the Journal of Process Control. Link
May 2021
Our paper on Distributed Model Predictive Control of Integrated Process Networks: Optimal Decomposition for Varying Operating Points has been published in the Proceedings of the American Control Conference (ACC), New Orleans, LA, 2021. Link
Thiago Cabral has joined our group as a graduate student. Welcome, Thiago!
April 2021
Ashton Gohman won first place at the Carl R. Ice College of Engineering Undergraduate Research and Creative Inquiry Showcase for his work on Spatiotemporal Dynamic Modeling of Planar Solid Oxide Fuel Cells. Congratulations, Ashton! Link
January 2021
Patrick Hinkel has joined our group as an undergraduate researcher. Welcome, Patrick!
December 2020
Ashton Gohman has joined our group as an undergraduate researcher. Welcome, Ashton!
November 2020
We have given three oral presentations at the 2020 AIChE Annual Meeting:
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Output Feedback Control of Integrated Lumped and Distributed Parameter Systems Using Mobile Sensors Network (172g @ Advances in Process Control Session) Link
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Distributed Model Predictive Control of Integrated Process Networks Using Community Detection (687g @ Optimization-based Estimation and Control Session) Link
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Constrained Control of Dissipative Distributed Parameter Systems via On-Demand Data-Driven Model Reduction (399a @ Advanced Modelling and Data Systems Applications in Next-Gen Manufacturing II Session) Link
July 2020
Our paper on Control of Semilinear Dissipative Distributed Parameter Systems with Minimum Feedback Information has been published in the Proceedings of the American Control Conference (ACC), Denver, CO, 2020. Link
Dr. Pourkargar joined the Tim Taylor Department of Chemical Engineering at K-State. He is starting up a multidisciplinary research group in the area of sustainable and intelligent process systems engineering.